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Computational Intelligence for Remote Sensing

2008-09-08 Technology & Engineering
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Release : 2008-09-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 534/5 ( reviews)

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Book Synopsis Computational Intelligence for Remote Sensing by : Manuel Grana

Download or read book Computational Intelligence for Remote Sensing written by Manuel Grana. This book was released on 2008-09-08. Available in PDF, EPUB and Kindle. Book excerpt: This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. The classes of images dealt with are mostly multispectral-hyperspectral images.

Computational Intelligence for Remote Sensing

2008-06-05 Computers
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Release : 2008-06-05
Genre : Computers
Kind : eBook
Book Rating : 526/5 ( reviews)

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Book Synopsis Computational Intelligence for Remote Sensing by : Manuel Grana

Download or read book Computational Intelligence for Remote Sensing written by Manuel Grana. This book was released on 2008-06-05. Available in PDF, EPUB and Kindle. Book excerpt: This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.

Computational Intelligence in Remote Sensing

2024-03-15 Technology & Engineering
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Release : 2024-03-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 139/5 ( reviews)

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Book Synopsis Computational Intelligence in Remote Sensing by : Yue Wu

Download or read book Computational Intelligence in Remote Sensing written by Yue Wu. This book was released on 2024-03-15. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement of Earth observation techniques, vast amounts of high-resolution remote sensing data are continually captured, proving instrumental in fields such as geography, environmental monitoring, disaster management, and more. However, challenges such as data volume, complex structures, limited labeled samples, and non-convex optimization persist in processing and analyzing remote sensing data. Computational intelligence techniques, inspired by biological intelligence systems, offer potential solutions to these challenges. Computational intelligence (CI) is the theory, design, and application of biologically and linguistically motivated computational paradigms. Traditionally centered around neural networks, fuzzy systems, and evolutionary computation, CI has expanded to include various nature-inspired computing paradigms. These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen a surge in deep learning research, with deep convolutional neural networks becoming a core method in artificial intelligence. Many successful AI systems today are based on CI, and it is anticipated that CI will provide effective solutions to challenges in remote sensing in the future.

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation

2021-09-14 Computers
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Release : 2021-09-14
Genre : Computers
Kind : eBook
Book Rating : 122/5 ( reviews)

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Book Synopsis Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation by : Maria Pia Del Rosso

Download or read book Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation written by Maria Pia Del Rosso. This book was released on 2021-09-14. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.

Computational Intelligence in Remote Sensing

2024-03-15 Technology & Engineering
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Author :
Release : 2024-03-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 115/5 ( reviews)

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Book Synopsis Computational Intelligence in Remote Sensing by : Yue Wu

Download or read book Computational Intelligence in Remote Sensing written by Yue Wu. This book was released on 2024-03-15. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement of Earth observation techniques, vast amounts of high-resolution remote sensing data are continually captured, proving instrumental in fields such as geography, environmental monitoring, disaster management, and more. However, challenges such as data volume, complex structures, limited labeled samples, and non-convex optimization persist in processing and analyzing remote sensing data. Computational intelligence techniques, inspired by biological intelligence systems, offer potential solutions to these challenges. Computational intelligence (CI) is the theory, design, and application of biologically and linguistically motivated computational paradigms. Traditionally centered around neural networks, fuzzy systems, and evolutionary computation, CI has expanded to include various nature-inspired computing paradigms. These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen a surge in deep learning research, with deep convolutional neural networks becoming a core method in artificial intelligence. Many successful AI systems today are based on CI, and it is anticipated that CI will provide effective solutions to challenges in remote sensing in the future.

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